Alqahtani, AM, Yosuf, B, Mohamed, SH et al. (2 more authors) (2021) Energy Minimized Federated Fog Computing over Passive Optical Networks. In: 2021 International Symposium on Networks, Computers and Communications, ISNCC 2021. 2021 International Symposium on Networks, Computers and Communications (ISNCC), 31 Oct - 02 Nov 2021, Dubai, United Arab Emirates. IEEE ISBN 978-1-6654-4829-1
Abstract
The rapid growth of time-sensitive applications and services has driven enhancements to computing infrastructures. The main challenge that needs addressing for these applications is the optimal placement of the end-users’ demands to reduce the total power consumption and delay. One of the widely adopted paradigms to address such a challenge is fog computing. Placing fog units close to end-users at the edge of the network can help mitigate some of the latency and energy efficiency issues. Compared to the traditional hyperscale cloud data centres, fog computing units are constrained by computational power, hence, the capacity of fog units plays a critical role in meeting the stringent demands of the end-users due to intensive processing workloads. In this paper, we first propose a federated fog computing architecture where multiple distributed fog cells collaborate in serving users. These fog cells are connected through dedicated Passive Optical Network (PON) connections. We then aim to optimize the placement of virtual machines (VMs) demands originating from the end-users by formulating a Mixed Integer Linear Programming (MILP) model to minimize the total power consumption. The results show an increase in processing capacity and a reduction in the power consumption by up to 26% compared to a Non-Federated fogs computing architecture.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Fog Computing , Energy Efficiency , resource allocation , Internet of Things (IoT) , Mixed Integer Linear Programming (MILP) , optimization , Passive Optical Networks (PONs) |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/S016570/1 EPSRC (Engineering and Physical Sciences Research Council) EP/K016873/1 EPSRC (Engineering and Physical Sciences Research Council) EP/H040536/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Feb 2022 16:26 |
Last Modified: | 08 Feb 2022 16:26 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ISNCC52172.2021.9615749 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:183348 |